
10.000+ funcionários
👥 B2C
🛒 Varejo
B2C • Retail • Hospitality
A Hyatt é uma empresa global de hospitalidade que gerencia, franqueia e desenvolve um portfólio de hotéis, resorts e propriedades de férias. É conhecida pelo seu compromisso em fornecer serviços e comodidades de alta qualidade, visando aprimorar a experiência de viagem tanto para viajantes a negócios quanto de lazer.
🕒 Maio 8
🌽 Illinois – Remoto
💵 $135.000 - $160.000 / ano
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
💻 Engenheiro de Soluções
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
AWS
Cloud
Docker
DynamoDB
EC2
Google Cloud Platform
Jenkins
Kubernetes
MongoDB
Postgres
Python
Redis
SQL
Terraform
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
👥 B2C
🛒 Varejo
B2C • Retail • Hospitality
A Hyatt é uma empresa global de hospitalidade que gerencia, franqueia e desenvolve um portfólio de hotéis, resorts e propriedades de férias. É conhecida pelo seu compromisso em fornecer serviços e comodidades de alta qualidade, visando aprimorar a experiência de viagem tanto para viajantes a negócios quanto de lazer.
• Work closely with Data Engineering, Data Product Management and Data Science teams to meet data requirements of various initiatives in Hyatt. • Work on the creation of the Hyatt Enterprise Data Platform. • Shape and build new analytical solutions to deploy in support of internal clients. • Create solutions to drive innovation. • Recommend tools and capabilities based on research of the current environment and knowledge of on-premises, Cloud-based, and hybrid resources. • Collaborate with engineering, architecture, and migration teams to inform strategy and architecture design. • Design/prototype using multiple techniques and new technologies. • Broaden skillset into areas like automation, scripting, and containerization while developing critical systems for several internal clients. • Lead efforts to design and implement data solutions for data migration, data delivery and ML pipelines. • Build resilient, reliable, performant and secure Data Platform and Applications. • Work closely with application development and data engineer teams on day-to-day tasks along with project planning and implementation.
• 8+ years of experience within the field of application/platform engineering or related technical work including business intelligence, analytics. • 6+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards. • Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups. • Experience with DB technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis). • Experience with GCP and AI/ Gemini models • Strong experience with GCP provision Throughput and LLM model supports • Experience with all the latest AI trends and hands-on experience on the LLM model support and CICD support • Strong understanding of cloud serverless solutions (AWS…S3, CloudFront, API Gateway, Lambda, SQS, Event Bridge) • Experience working with cloud database services (RDS, DynamoDB, Document DB). • Experience with containerization (Docker, Kubernetes, AWS EKS/ECS/Fargate). • Experience with cloud build and deployment tools (Serverless, AWS SAM, GitLab). • Experience working with infrastructure-as-code (IaaC) and cloud deployment languages (Serverless, CloudFormation, CDK, Terraform). • Exposure to AI/LLM platforms and modern AI frameworks • Experience integrating AI workloads with cloud data platforms • Familiarity with GCP AI services and Gemini models is a plus • Base understanding of cloud services and infrastructure (VPC, EC2, S3, EBS, EFS, IAM, CW). • Experience designing event-driven and service-oriented solution architectures. • Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation and terraform). • High degree of knowledge in IAM Roles and Policies • Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability. • Strong scripting experience using PowerShell and/or Python. • Strong technical skills to work independently without any hand holding or help from other team members • Lead projects end-end from architecture, solutioning, cyber and security reviews and implementation • High degree of knowledge in PaaS and SaaS application performance. Understand enterprise level application architecture diagrams and IT security requirements.
• Annual allotment of free hotel stays at Hyatt hotels globally • Flexible work schedule • Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center • A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption • Paid Time Off, Medical, Dental, Vision, 401K with company match
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